pdf-toolbox-mcp
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- FlicenseNot gradedqualityAmaintenanceEnables AI agents to perform comprehensive PDF operations locally, including compression, text extraction, PII redaction, page organization, splitting, merging, watermarking, creation, and form filling, all without cloud uploads.6 npm-
- AlicenseAqualityBmaintenanceEnables AI agents to inspect PDFs, merge or extract pages, and clean text entirely offline through the Model Context Protocol, with no uploads, API keys, or network calls.443 npmMIT
- AlicenseNot gradedqualityAmaintenanceEnables AI agents to create and process office documents locally, including generating branded PDF, Word, Excel, and editable PowerPoint files from templates and themes, plus reading, OCR, form-filling, manipulation, and conversion of PDFs.1MIT
- AlicenseAqualityAmaintenanceEnables AI agents to inspect and work with PDF files entirely on the local machine, covering page counts, metadata, layout, encryption permissions, scan-vs-text detection, and page rendering. Generated results land in a temporary workspace as short artifact ids that can be chained between tools and exported to real folders on request.1245 PyPI1Apache 2.0
- FlicenseBqualityAmaintenanceEnables local, offline document extraction and manipulation—PDF first but also HTML, DOCX, XLSX, PPTX, EML, EPUB, Markdown, and plain text—through tools for probing, locating, extracting, converting, assembling, OCR, protecting, and redacting documents, with nothing leaving the machine.7-
- FlicenseNot gradedqualityBmaintenanceEnables AI agents to process files locally — OCR images, extract text from PDFs and DOCX, and describe images using local vision models, all without sending data to external services.-
TDQS
Scored across 25 tools
Most tools target distinct PDF operations, but a few have overlapping boundaries: tool_redact and tool_redact_text both perform redaction via different input modes, and tool_doctor/tool_dependency_status both serve diagnostic purposes. The descriptions are generally clear enough to route correctly, so the overlap is manageable rather than confusing.
All tools follow a consistent snake_case style with a uniform tool_ prefix, and most use a verb_noun pattern like tool_merge_pdfs or tool_extract_text. A few names deviate into noun phrases or question style (tool_doctor, tool_dependency_status, tool_is_searchable), but these are minor exceptions in an otherwise predictable naming scheme.
25 tools sits at the heavy end of the ideal range for a PDF toolbox; each tool does target a genuine PDF operation, but the count is borderline and could feel sprawling. Grouping or reducing some of the more granular diagnostic tools might have made the surface tighter.
The surface covers the main PDF lifecycle well: inspection, text extraction, OCR, merge/split, rotation, redaction, compression, encryption, forms, metadata, and sanitization. Obvious gaps remain, such as creating a PDF from scratch, deleting/reordering pages, digital signing, or watermarking, but these are not core to the demonstrated purpose and can be worked around.